Name
Abstract | ||
|---|---|---|
Study on semantic search can be mainly divided into two kinds: one is augmenting traditional keyword-based search engines with semantic techniques like ontology, semantic inference; the other is proposing methods for directly searching on semantic repositories as RDF or OWL files. However, compared with those theoretic-driven approaches, semantic search still lacks applications with real life cases at the moment. By analyzing the scenario of domain resources, this paper proposes a domain-oriented semantic search model, which provides both entity search (concepts and instances) and relationship retrieval (concept2concpet, concept2instance and instance2instance). The search model can be further refined as a generalized and domain independent architecture with inference supports. The supporting semantic inference is gradually achieved by reasoning-rules, formulas and algorithms. With such semantic search model, more exact and meaningful information hidden in the resource repository can be extracted. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-74829-8_90 | KES (3) |
Keywords | Field | DocType |
search model,entity search,traditional keyword-based search engine,inference support,semantic inference,semantic technique,semantic repository,independent semantic search model,semantic search model,domain-oriented semantic search model,semantic search,search engine,domain model | Semantic similarity,Semantic integration,Semantic technology,Information retrieval,Semantic search,Semantic Web Stack,Computer science,Semantic grid,Semantic computing,Semantic data model | Conference |
Volume | ISSN | Citations |
4694 | 0302-9743 | 1 |
PageRank | References | Authors |
0.40 | 12 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhixian Yan | 1 | 726 | 34.14 |
| Ying Ding | 2 | 2396 | 144.65 |
| Emilia Cimpian | 3 | 299 | 23.46 |